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An analytics approach to the FIFA ranking procedure and the World Cup final draw

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Cited by:

  1. Peter Tea & Tim B. Swartz, 2023. "The analysis of serve decisions in tennis using Bayesian hierarchical models," Annals of Operations Research, Springer, vol. 325(1), pages 633-648, June.
  2. Alex Krumer & Juan D. Moreno-Ternero, 2023. "The Allocation of Additional Slots for the FIFA World Cup," Journal of Sports Economics, , vol. 24(7), pages 831-850, October.
  3. Chater, Mario & Arrondel, Luc & Gayant, Jean-Pascal & Laslier, Jean-François, 2021. "Fixing match-fixing: Optimal schedules to promote competitiveness," European Journal of Operational Research, Elsevier, vol. 294(2), pages 673-683.
  4. Muhammad Asif & Ali Ahmadian & Muhammad Azeem & Bruno Antonio Pansera, 2021. "A short comparative study on modified Duckworth-Lewis methods," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-12, November.
  5. Michal Friesl & Jan Libich & Petr Stehlík, 2020. "Fixing ice hockey’s low scoring flip side? Just flip the sides," Annals of Operations Research, Springer, vol. 292(1), pages 27-45, September.
  6. Sebastian Krakowski & Johannes Luger & Sebastian Raisch, 2023. "Artificial intelligence and the changing sources of competitive advantage," Strategic Management Journal, Wiley Blackwell, vol. 44(6), pages 1425-1452, June.
  7. Oliver Engist & Erik Merkus & Felix Schafmeister, 2021. "The Effect of Seeding on Tournament Outcomes: Evidence From a Regression-Discontinuity Design," Journal of Sports Economics, , vol. 22(1), pages 115-136, January.
  8. László Csató, 2020. "The UEFA Champions League seeding is not strategy-proof since the 2015/16 season," Annals of Operations Research, Springer, vol. 292(1), pages 161-169, September.
  9. László Csató, 2020. "Optimal Tournament Design: Lessons From the Men’s Handball Champions League," Journal of Sports Economics, , vol. 21(8), pages 848-868, December.
  10. Csató, László & Petróczy, Dóra Gréta, 2022. "Hogyan számszerűsíthető az ösztönzéskompatibilitás? Esettanulmány a sport világából [Quantifying incentive compatibility: a case study from the world of sports]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 841-852.
  11. Praveen Ranjan Srivastava & Prajwal Eachempati & Ajay Kumar & Ashish Kumar Jha & Lalitha Dhamotharan, 2023. "Best strategy to win a match: an analytical approach using hybrid machine learning-clustering-association rule framework," Annals of Operations Research, Springer, vol. 325(1), pages 319-361, June.
  12. Csató László, 2022. "The effects of draw restrictions on knockout tournaments," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 18(4), pages 227-239, December.
  13. Guajardo, Mario & Krumer, Alex, 2023. "Format and schedule proposals for a FIFA World Cup with 12 four-team groups," Discussion Papers 2023/2, Norwegian School of Economics, Department of Business and Management Science.
  14. Pierpaolo D’Urso & Livia Giovanni & Vincenzina Vitale, 2023. "A robust method for clustering football players with mixed attributes," Annals of Operations Research, Springer, vol. 325(1), pages 9-36, June.
  15. Tullio Facchinetti & Rodolfo Metulini & Paola Zuccolotto, 2023. "Filtering active moments in basketball games using data from players tracking systems," Annals of Operations Research, Springer, vol. 325(1), pages 521-538, June.
  16. Lapré Michael A. & Palazzolo Elizabeth M., 2022. "Quantifying the impact of imbalanced groups in FIFA Women’s World Cup tournaments 1991–2019," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 18(3), pages 187-199, September.
  17. Lapré Michael A. & Palazzolo Elizabeth M., 2023. "The evolution of seeding systems and the impact of imbalanced groups in FIFA Men’s World Cup tournaments 1954–2022," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 19(4), pages 317-332, December.
  18. Guillermo Durán, 2021. "Sports scheduling and other topics in sports analytics: a survey with special reference to Latin America," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(1), pages 125-155, April.
  19. L'aszl'o Csat'o, 2023. "Club coefficients in the UEFA Champions League: Time for shift to an Elo-based formula," Papers 2304.09078, arXiv.org, revised Oct 2023.
  20. Lunander Anders & Karlsson Niklas, 2023. "Choosing opponents in skiing sprint elimination tournaments," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 19(3), pages 205-221, September.
  21. Valerio Ficcadenti & Roy Cerqueti & Ciro Hosseini Varde’i, 2023. "A rank-size approach to analyse soccer competitions and teams: the case of the Italian football league “Serie A"," Annals of Operations Research, Springer, vol. 325(1), pages 85-113, June.
  22. Csató, László, 2023. "How to avoid uncompetitive games? The importance of tie-breaking rules," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1260-1269.
  23. László Csató, 2022. "How to design a multi-stage tournament when some results are carried over?," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(3), pages 683-707, September.
  24. Csató, László, 2022. "Quantifying incentive (in)compatibility: A case study from sports," European Journal of Operational Research, Elsevier, vol. 302(2), pages 717-726.
  25. L'aszl'o Csat'o & L'aszl'o Marcell Kiss & Zsombor Sz'adoczki, 2023. "The allocation of FIFA World Cup slots based on the ranking of confederations," Papers 2310.19100, arXiv.org, revised May 2024.
  26. Apurva Jha & Arpan Kumar Kar & Agam Gupta, 2023. "Optimization of team selection in fantasy cricket: a hybrid approach using recursive feature elimination and genetic algorithm," Annals of Operations Research, Springer, vol. 325(1), pages 289-317, June.
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